Inter simple sequence repeat (ISSR) to assess genetic diversity within a collection of wild lingonberry (<i>Vaccinium vitis-idaea</i> L.) clones
Bibliographic record
Abstract
Forty-three wild lingonberry [Vaccinium vitis-idaea ssp. minus (Lodd) Hult.] clones collected from four Canadian provinces were assessed for genetic variability by using inter simple sequence repeat (ISSR). Fifteen primers generated 356 polymorphic ISSR-PCR bands. A substantial degree of genetic diversity was found am ong the wild collections. Cluster analysis by the unweighted pair-group method with arithmetic averages (UPGMA) separated the wild clones into four main clusters, and identified the two remaining clones as outliers. Furthermore, within four clusters, the genotypes tended to form sub-clusters that were in agreement with the principal coordinate (PCO) analysis. Geographical distribution explained 10% of total variation as revealed by analysis of molecular variance (AMOVA). The ISSR markers detected a sufficient degree of polymorphism to differentiate among lingonberry clones, making this technology valuable for germplasm management and the more efficient choice of parents in current lingonberry breeding programs. Key words: Vaccinium vitis-idaea, DNA fingerprinting, molecular marker
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".